{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 创建验证码数据集\n",
    "\n",
    "## 引入第三方包"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from captcha.image import ImageCaptcha\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "\n",
    "import tensorflow.gfile as gfile\n",
    "import matplotlib.pyplot as plt\n",
    "import PIL.Image as Image"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义常量和字符集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "NUMBER = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']\n",
    "LOWERCASE = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u',\n",
    "            'v', 'w', 'x', 'y', 'z']\n",
    "UPPERCASE = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U',\n",
    "           'V', 'W', 'X', 'Y', 'Z']\n",
    "\n",
    "CAPTCHA_CHARSET = NUMBER   # 验证码字符集\n",
    "CAPTCHA_LEN = 4            # 验证码长度\n",
    "CAPTCHA_HEIGHT = 60        # 验证码高度\n",
    "CAPTCHA_WIDTH = 160        # 验证码宽度\n",
    "\n",
    "\n",
    "TRAIN_DATASET_SIZE = 5000     # 验证码数据集大小\n",
    "TEST_DATASET_SIZE = 1000 \n",
    "TRAIN_DATA_DIR = './train-data/' # 验证码数据集目录\n",
    "TEST_DATA_DIR = './test-data/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 生成随机字符的方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_random_text(charset=CAPTCHA_CHARSET, length=CAPTCHA_LEN):\n",
    "    text = [random.choice(charset) for _ in range(length)]\n",
    "    return ''.join(text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 创建并保存验证码数据集的方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_captcha_dataset(size=100,\n",
    "                           data_dir='./data/',\n",
    "                           height=60,                           \n",
    "                           width=160,\n",
    "                           image_format='.png'):\n",
    "\n",
    "    # 如果保存验证码图像，先清空 data_dir 目录\n",
    "    if gfile.Exists(data_dir):\n",
    "        gfile.DeleteRecursively(data_dir)\n",
    "    gfile.MakeDirs(data_dir)\n",
    "    \n",
    "    # 创建 ImageCaptcha 实例 captcha\n",
    "    captcha = ImageCaptcha(width=width, height=height)\n",
    "\n",
    "    for _ in range(size):\n",
    "        # 生成随机的验证码字符\n",
    "        text = gen_random_text(CAPTCHA_CHARSET, CAPTCHA_LEN)\n",
    "        captcha.write(text, data_dir + text + image_format)\n",
    "        \n",
    "    return None"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 创建并保存训练集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "create_captcha_dataset(TRAIN_DATASET_SIZE, TRAIN_DATA_DIR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 创建并保存测试集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "create_captcha_dataset(TEST_DATASET_SIZE, TEST_DATA_DIR)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 生成并返回验证码数据集的方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gen_captcha_dataset(size=100,\n",
    "                        height=60,                           \n",
    "                        width=160,\n",
    "                        image_format='.png'):\n",
    "\n",
    "    # 创建 ImageCaptcha 实例 captcha\n",
    "    captcha = ImageCaptcha(width=width, height=height)\n",
    "\n",
    "    # 创建图像和文本数组\n",
    "    images, texts = [None]*size, [None]*size\n",
    "    for i in range(size):\n",
    "        # 生成随机的验证码字符\n",
    "        texts[i] = gen_random_text(CAPTCHA_CHARSET, CAPTCHA_LEN)\n",
    "        # 使用 PIL.Image.open() 识别新生成的验证码图像 \n",
    "        # 然后，将图像转换为形如(CAPTCHA_WIDTH, CAPTCHA_HEIGHT, 3) 的 Numpy 数组\n",
    "        images[i] = np.array(Image.open(captcha.generate(texts[i])))\n",
    "        \n",
    "    return images, texts"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 生成 100 张验证码图像和字符"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "images, texts = gen_captcha_dataset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure()\n",
    "for i in range(20):\n",
    "    plt.subplot(5,4,i+1) # 绘制前20个验证码，以5行4列子图形式展示\n",
    "    plt.tight_layout() # 自动适配子图尺寸\n",
    "    plt.imshow(images[i])\n",
    "    plt.title(\"Label: {}\".format(texts[i])) # 设置标签为子图标题\n",
    "    plt.xticks([]) # 删除x轴标记\n",
    "    plt.yticks([]) # 删除y轴标记\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
